In a co-design environment changes need to be integrated quickly and in an automated manner. This paper considers the challenge of creating and optimizing a global logistics system for the construction of a passenger aircraft within a co-design approach with respect to key performance indicators (like cost, time or resilience). The product in question is an aircraft, comprised of multiple components, manufactured at multiple sites worldwide. The goal is to find an optimal way to build the aircraft taking into consideration the requirements for its industrial system. The main motivation for approaching this challenge is to develop the industrial system in tandem with the product and making it more resilient against unforeseen events, reducing the risks of bottlenecks in the supply chain. This risk reduction ensures continued efficiency and operational success. To address this challenging and complex task we have chosen Answer Set Programming (ASP) as the modeling language, formalizing the relevant requirements of the investigated industrial system. The approach presented in this paper covers three main aspects: the extraction of the relevant information from a knowledge graph, the translation into logic programs and the computation of existing configurations guided by optimization criteria. Finally we visualize the results for an effortless evaluation of these models. Internal results seem promising and yielded several new research questions for future improvements of the discussed use case.

翻译：在协同设计环境中，变更需要快速且自动化地整合。本文探讨了在协同设计方法下，针对关键绩效指标（如成本、时间或韧性），为客机建造创建并优化全球物流系统所面临的挑战。所涉及的产品是由多个部件组成的飞机，这些部件在全球多个地点制造。目标是在考虑其工业系统需求的前提下，找到建造飞机的最优方式。应对这一挑战的主要动机是使工业系统与产品协同开发，并增强其抵御不可预见事件的能力，从而降低供应链瓶颈风险。这种风险降低确保了持续的效率和运营成功。为处理这一复杂且具有挑战性的任务，我们选择回答集编程（ASP）作为建模语言，将所研究的工业系统的相关需求形式化。本文提出的方法涵盖三个主要方面：从知识图谱中提取相关信息、将其翻译为逻辑程序，以及根据优化准则计算现有配置。最后，我们通过可视化结果以实现对这些模型的便捷评估。内部结果令人鼓舞，并为未来改进所述用例提出了若干新的研究问题。